Knowledge Discovery in Inductive Databases 4th International Workshop, KDID 2005, Porto, Portugal, October 3, 2005, Revised Selected and Invited Papers /

The4thInternationalWorkshoponKnowledgeDiscoveryinInductiveDatabases (KDID 2005) was held in Porto, Portugal, on October 3, 2005 in conjunction with the 16th European Conference on Machine Learning and the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases. Ever si...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Bonchi, Francesco (Editor ), Boulicaut, Jean-Francois (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Information Systems and Applications, incl. Internet/Web, and HCI ; 3933
Temas:
Data structures (Computer science).
Information theory.
Database management.
Artificial intelligence.
Data Structures and Information Theory.
Database Management.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Invited Papers
  • Data Mining in Inductive Databases
  • Mining Databases and Data Streams with Query Languages and Rules
  • Contributed Papers
  • Memory-Aware Frequent k-Itemset Mining
  • Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data
  • Experiment Databases: A Novel Methodology for Experimental Research
  • Quick Inclusion-Exclusion
  • Towards Mining Frequent Queries in Star Schemes
  • Inductive Databases in the Relational Model: The Data as the Bridge
  • Transaction Databases, Frequent Itemsets, and Their Condensed Representations
  • Multi-class Correlated Pattern Mining
  • Shaping SQL-Based Frequent Pattern Mining Algorithms
  • Exploiting Virtual Patterns for Automatically Pruning the Search Space
  • Constraint Based Induction of Multi-objective Regression Trees
  • Learning Predictive Clustering Rules.

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